Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques

This Brief highlights a novel model to find out the feasibility of any location to produce solar energy. The model utilizes the latest multi-criteria decision making techniques and artificial neural networks to predict the suitability of a location to maximize allocation of available energy for prod...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Majumder, Mrinmoy (Συγγραφέας), Saha, Apu K. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2016.
Σειρά:SpringerBriefs in Energy,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Introduction
  • Justification
  • Solar Energy
  • Solar Energy
  • Importance
  • Benefits of Solar energy
  • MCDM
  • Definitions
  • Applications
  • Artificial Neural Network
  • Definition
  • Development Procedure of Models
  • Development of the Feasibility Model
  • Application of MCDM
  • Development of Feasibility Index
  • Model Validation of the Model
  • Sensitivity Analysis
  • Case Studies
  • Locations
  • Why this location ?
  • Results and Discussion
  • MCDM Results
  • ANN Results
  • Conclusion.